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South Econ J. 2021 Jan;87(3):769-807. doi: 10.1002/soej.12475. Epub 2020 Dec 2.
2
Risk avoidance, offsetting community effects, and COVID-19: Evidence from an indoor political rally.风险规避、抵消社区影响与新冠疫情:来自一场室内政治集会的证据
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本文引用的文献

1
Effects of large gatherings on the COVID-19 epidemic: Evidence from professional and college sports.大型集会对 COVID-19 疫情的影响:来自职业和大学体育的证据。
Econ Hum Biol. 2021 Dec;43:101033. doi: 10.1016/j.ehb.2021.101033. Epub 2021 Jul 1.
2
The relationship between in-person voting and COVID-19: Evidence from the Wisconsin primary.亲自投票与新冠病毒病之间的关系:来自威斯康星州初选的证据。
Contemp Econ Policy. 2021 Oct;39(4):760-777. doi: 10.1111/coep.12519. Epub 2021 Mar 1.
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The Immediate Effect of COVID-19 Policies on Social-Distancing Behavior in the United States.《新冠疫情政策对美国社交隔离行为的即时影响》
Public Health Rep. 2021 Mar-Apr;136(2):245-252. doi: 10.1177/0033354920976575. Epub 2021 Jan 5.
4
JUE Insight: Were urban cowboys enough to control COVID-19? Local shelter-in-place orders and coronavirus case growth.《JUE洞察:城市中的“牛仔们”足以控制新冠疫情吗?地方居家令与新冠病例增长》
J Urban Econ. 2022 Jan;127:103294. doi: 10.1016/j.jue.2020.103294. Epub 2020 Nov 6.
5
The forgotten numbers: A closer look at COVID-19 non-fatal valuations.被遗忘的数字:深入审视新冠病毒病的非致命评估
J Risk Uncertain. 2020;61(2):155-176. doi: 10.1007/s11166-020-09339-0. Epub 2020 Nov 4.
6
WHEN DO SHELTER-IN-PLACE ORDERS FIGHT COVID-19 BEST? POLICY HETEROGENEITY ACROSS STATES AND ADOPTION TIME.就地避难令在何时对抗击新冠疫情最为有效?各州政策的异质性及实施时间
Econ Inq. 2021 Jan;59(1):29-52. doi: 10.1111/ecin.12944. Epub 2020 Sep 20.
7
Health economics and emergence from COVID-19 lockdown: the great big marginal analysis.健康经济学与走出 COVID-19 封锁:大规模边际分析。
Health Econ Policy Law. 2022 Apr;17(2):227-231. doi: 10.1017/S1744133120000304. Epub 2020 Aug 6.
8
Community Use Of Face Masks And COVID-19: Evidence From A Natural Experiment Of State Mandates In The US.社区使用口罩与 COVID-19:来自美国州政府强制令的自然实验证据。
Health Aff (Millwood). 2020 Aug;39(8):1419-1425. doi: 10.1377/hlthaff.2020.00818. Epub 2020 Jun 16.
9
Strong Social Distancing Measures In The United States Reduced The COVID-19 Growth Rate.美国采取了强有力的社交隔离措施,降低了 COVID-19 的增长率。
Health Aff (Millwood). 2020 Jul;39(7):1237-1246. doi: 10.1377/hlthaff.2020.00608. Epub 2020 May 14.
10
Timing of Community Mitigation and Changes in Reported COVID-19 and Community Mobility - Four U.S. Metropolitan Areas, February 26-April 1, 2020.社区缓解措施的时机与报告的 COVID-19 和社区流动性的变化 - 2020 年 2 月 26 日至 4 月 1 日,美国四个大都市区。
MMWR Morb Mortal Wkly Rep. 2020 Apr 17;69(15):451-457. doi: 10.15585/mmwr.mm6915e2.

超级传播事件的传染外部性:斯特吉斯摩托车拉力赛与新冠疫情

The contagion externality of a superspreading event: The Sturgis Motorcycle Rally and COVID-19.

作者信息

Dave Dhaval, McNichols Drew, Sabia Joseph J

机构信息

Bentley University Waltham Massachusetts USA.

IZA Bonn Germany.

出版信息

South Econ J. 2021 Jan;87(3):769-807. doi: 10.1002/soej.12475. Epub 2020 Dec 2.

DOI:10.1002/soej.12475
PMID:33362303
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7753804/
Abstract

Large in-person gatherings of travelers who do not socially distance are classified as the "highest risk" for COVID-19 spread by the Centers for Disease Control and Prevention (CDC). From August 7-16, 2020, nearly 500,000 motorcycle enthusiasts converged on Sturgis, South Dakota for its annual rally in an environment without mask-wearing requirements or other mitigating policies. This study is the first to explore this event's public health impacts. First, using anonymized cell phone data, we document that foot traffic at restaurants/bars, retail establishments, and entertainment venues rose substantially at event locations. Stay-at-home behavior among local residents fell. Second, using a synthetic control approach, we find that the COVID-19 case rate increased substantially in Meade County and in the state of South Dakota in the month following the Rally. Finally, using a difference-in-differences model to assess nationwide spread, we find that following the Sturgis event, counties outside of South Dakota that contributed the highest inflows of rally attendees experienced a 6.4-12.5% increase in COVID-19 cases relative to counties without inflows. Our findings highlight that local policy decisions assessing the tradeoff between local economic benefits and COVID-19 health costs will not be socially optimal in the presence of large contagion externalities.

摘要

美国疾病控制与预防中心(CDC)将未保持社交距离的大量旅行者聚集活动列为新冠病毒传播的“最高风险”。2020年8月7日至16日,近50万名摩托车爱好者齐聚南达科他州斯特吉斯参加年度集会,集会环境没有佩戴口罩要求或其他缓解政策。本研究首次探讨了该活动对公共卫生的影响。首先,我们使用匿名手机数据记录了集会地点的餐厅/酒吧、零售场所和娱乐场所的人流量大幅上升。当地居民的居家行为减少。其次,我们采用合成控制法发现,集会后的一个月里,米德县和南达科他州的新冠病例率大幅上升。最后,我们使用差分模型评估全国范围的传播情况,发现斯特吉斯集会活动后,集会参与者流入量最高的南达科他州以外的县,其新冠病例数相对于没有流入的县增加了6.4%-12.5%。我们的研究结果表明,在存在巨大传染外部性的情况下,评估地方经济利益与新冠疫情健康成本之间权衡的地方政策决策并非社会最优。